Dr. Rashmi Ashtagi

Bio

Dr. Rashmi Murgendra Ashtagi is an Associate Professor in the Department of Computer Engineering and Technology at MIT World Peace University, Pune, with expertise in Artificial Intelligence, Machine Learning, and Medical Image Analysis. She is committed to fostering outcome-based, research-driven learning that integrates innovation with societal impact.

With extensive publications in Scopus and SCIE indexed journals, patents, and interdisciplinary research contributions, she actively mentors students in emerging technologies.

Her teaching philosophy emphasizes experiential learning, ethical innovation, and collaborative problem-solving, aligning with MIT-WPU’s vision of developing globally competent engineers who contribute to sustainable technological advancement

Professional Affiliations: ISTE, AIENG

Specialisation: Artificial Intelligence and Data Science

Areas of Expertise: Artificial Intelligence, Machine Learning, Medical Image Processing

Teaching Experience: 12 Years

Industry/Research Experience: 3 Years

Education: Ph.D: Ph.D. In Computer Science and Engineering, VTU, Karnataka M.Tech: M.E. In Computer Engineering, SPPU, Pune B.Tech: B.E. In Computer Science and Engineering, VTU, Karnataka

Publications and Research Work:

Patil R, Bellary S (2022) Machine learning approach in melanoma cancer stage detection. J King Saud Univ-Comput Inf Sci 34(6):3285–3293; R. Ashtagi, “Towards the Efficient and Privacy-Aware Diagnosis of Bladder Inflammations”, Eng. Technol. Appl. Sci. Res., vol. 15, no. 6, pp. 28956–28964, Dec. 2025.;

Rhasmi Ashtagi, Deepak Mane, Bhagyashree D Shendkar, Anant N Kaulage, Sagar Mohite, Ranjeet Bidwe, and Sangita Jaybhaye. Deep learning-enhanced mri imaging for early Alzheimer's detection. International Journal of Computing and Digital Systems, 16(1):1–17, 2024.

Awards and Recognitions:

Researcher of the Year Award from Vishwakarma Institute of Technology, Pune, in December 2024.

Young Scientist Award from International Scientist Awards 2021 on Engineering, Science and Medicine.

Subjects Taught: Data Structures, Database Management System

Scopus Id:
https://www.scopus.com/authid/detail.uri?authorId=57738018000

Google scholar Id:
https://scholar.google.com/citations?user=oUHM2WgAAAAJ&hl=en

Orchid Id:
https://orcid.org/0000-0001-5298-9170

Linked In:
https://www.linkedin.com/in/rashmi-ashtagi-990b9279/